################################################################################ # # Copyright (C) 2016-2022 Advanced Micro Devices, Inc. All rights reserved. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # ################################################################################ import argparse import os import yaml import sys sys.path.append(os.path.join(os.path.dirname(sys.path[0]),'..','Tensile')) from DataType import DataType from yaml import SafeDumper as yamlDumper from yaml import SafeLoader as yamlLoader def parseArgs(): argParser = argparse.ArgumentParser() h = {"inDir" : "Directory containing input logic files", \ "outDir" : "Output directory for modified logic files", \ "sclk" : "SCLK frequency in MHz tuning was done at", \ "specs" : ".yaml file containing hardware specifications", \ "per-cu" : "If tuning was done per CU", \ "name" : "Name substring to filter which files are modified", \ "mfma" : "If MFMA instructions were used for tuning", \ "x" : "to select A (default), or X node", \ "mi50" : "For vega20, if tuning was done on mi50" } argParser.add_argument("inDir", metavar="input-dir", type=str, help=h["inDir"]) argParser.add_argument("outDir", metavar="output-dir", type=str, help=h["outDir"]) argParser.add_argument("sclk", type=int, help=h["sclk"]) argParser.add_argument("specs", metavar="hardware-specs", nargs="?", type=str, default="default_specs.yaml", help=h["specs"]) argParser.add_argument("-p", "--per-cu", action="store_true", help=h["per-cu"]) argParser.add_argument("-n", "--name", type=str, help=h["name"]) argParser.add_argument("-m", "--mfma", action="store_true", help=h["mfma"]) argParser.add_argument("-x", action="store_true", help=h["x"]) argParser.add_argument("--mi50", action="store_true", help=h["mi50"]) return argParser.parse_args() def allFiles(startDir): current = os.listdir(startDir) files = [] for filename in current: fullPath = os.path.join(startDir, filename) if os.path.isdir(fullPath): files = files + allFiles(fullPath) else: files.append(fullPath) return files # sclk: MHz # alu: flops/cycle/CU def peakGFlops(sclk, alu, numCUs): return (sclk / 1000) * alu * numCUs def main(): args = parseArgs() mfmaKey = "mfma" if args.mfma else "non_mfma" with open(args.specs) as y: specs = yaml.load(y, yamlLoader) try: os.makedirs(args.outDir) except OSError: pass files = allFiles(args.inDir) for f in files: if not args.name or args.name in f: print(f) with open(f) as y: data = yaml.load(y, yamlLoader) sched = data[1] if args.x: sched+="X" type = DataType(data[4]["DataType"]).toChar() if type=="S" and data[4]["F32XdlMathOp"]==9: type="X" if type in specs[sched][mfmaKey]: alu = specs[sched][mfmaKey][type] else: print("error: {} data type does not exist in the spec file. Modify the spec file.".format(type)) return # get CU count if args.per_cu: numCUs = 1 elif sched == "vega20": gpu = "mi50" if args.mi50 else "mi60" numCUs = specs[sched]["numCUs"][gpu] else: numCUs = specs[sched]["numCUs"] peak = peakGFlops(args.sclk, alu, numCUs) # update each entry for entry in data[7]: print("Size: ", entry[0]) eff = entry[1][1] / peak entry[1][1] = round (100 * eff, 3) print("Efficiency: ", entry[1][1]) print() fName = os.path.basename(f) outFile = os.path.join(args.outDir, fName) with open(outFile, "w") as y: yaml.dump(data, y, yamlDumper, default_flow_style=None) if __name__ == "__main__": main()